gitwr Goto Github PK
Name: RuiW
Type: User
Company: Jiangnan University
Bio: My research topics include Riemannian manifold learning, metric learning, and deep learning.
Location: Wuxi,Jiangsu,China
Blog: https://github.com/GitWR
Name: RuiW
Type: User
Company: Jiangnan University
Bio: My research topics include Riemannian manifold learning, metric learning, and deep learning.
Location: Wuxi,Jiangsu,China
Blog: https://github.com/GitWR
Try to construct the AlexNet and run it on my dataset of YTC
some examples of how to build up simple deeplearning architecture
combine loggabor filter and cdl to improve the accuracy of image-set calssification
This is an matlab implementation of CVPR'18's work of depth map completion
This is a matlab implementation of J.Park's work "High Quality Depth Map Upsampling for 3D-TOF Cameras" . We test our implementation with a TOF-Simulated.mat file, and our results is close to the original authors.
This is a matlab implementation of J.Park's work "High Quality Depth Map Upsampling for 3D-TOF Cameras" . We test our implementation with a TOF-Simulated.mat file, and our results is close to the original authors.
This is a matlab implementation of our article, titled "DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning", which has recently been accepted by the 16th Asian Conference on Computer Vision (ACCV2022).
Paper accepted by ICCV Workshop (ICCVW) 2019. \\ Title : More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework based Kernel Matrix Representation.
a function of lda that one can use to do calssification of update this function
Using sklearn and python to impelement lda algorithm
MMML-ICPR‘18
A Matlab implementation of our previously published work in IEEE Trans. Big Data (TBD)
The improvement of CDL.
short introduction of python I/O operation
Response to the submission (#1741) of KDD2024
A simple program of CNN model on mnist dataset
Using python to impelement PCA and LDA algorithm and trying to do simple classification problem
This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017
Response to the submission (#1741)
This is a matlab implementation of our article, named "SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Image Set Classification", recently accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
An algorithm of manifold dimensional reduction with discrimiant learning on Grassmann manifold
This work has been accepted by Neural Networks.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.